tools

Data science & Machine Learning October 17, 2024

Behavior Modeling with Sequential Architectures: Exploring LSTMs in Machine Learning

Overcoming Limitations: How LSTMs Capture Temporal Patterns in Machine Learning

Data science & Machine Learning October 8, 2024

Deploying Machine Learning models in a Clojure-first environment

Challenges, solutions and the future of integrating Machine Learning at Nubank, a Clojure-First Environment

Data science & Machine Learning September 24, 2024

Machine Learning workflows with CPW: From complex pipelines to seamless execution

From challenges to solutions: The evolution of CPW for seamless ML workflow management

Data science & Machine Learning September 20, 2024

Empowering customer support agents with generative AI: interview with Kevin Rossell on Purple MinDS

Purple MinDS is a blog series that talk about the challenges data scientists and machine learning engineers face at their day-to-day at Nubank

Data science & Machine Learning April 2, 2024

Nubank DS & ML Meetup #82: a deep dive into optimization models in practice

Today, data isn’t just numbers; it’s the catalyst that drives decisions, forecasts trends, and creates sustainable business models.

Data science & Machine Learning March 5, 2024

Building and Maintaining Internal Tools for DS/ML teams: Lessons Learned

Lessons learned on how to build and maintain inner-source tools, with a focus on data science and machine learning use-cases